[Hiring] Senior Databricks Data Analyst @Stitch Consulting Services, Inc.

Role Description

As a Databricks Analyst, you work at every layer between the data and the decision. You write the queries, make the basic data connections you need to get to the right data, and build the reporting clients run on. Then you figure out what the data is telling us about the client's business, make the recommendation, and drive it through to action. You work with enterprise marketing, data, and IT leaders to turn their Databricks investment into measurable business outcomes.

We are looking for an analyst who is hands-on and proactive. You are not just interpreting and storytelling. You are in the workspace, in the SQL editor, and in the client conversation. Our clients are handing us the keys to their data, and the Databricks team has to drive: you spot what needs doing, build momentum, and make sure every engagement has traction and keeps moving forward. You partner closely with Stitch's Databricks project managers, architects, and data engineers, and you help shape how Stitch delivers analytics on Databricks.

Qualifications

• 5+ years of experience in data analytics, analytics engineering, or business intelligence, with hands-on SQL as a core part of the role.
• 1+ years of hands-on experience with Databricks or a comparable cloud data platform (Snowflake, BigQuery, Redshift).
• Demonstrated track record of turning analysis into recommendations that changed a business decision.
• Client-facing experience within an agency or consultancy required.
• Marketing, CRM, or customer data experience preferred. Databricks certification (e.g., Data Analyst Associate) is a plus.
• Must be eligible to work in the United States without visa sponsorship.

Requirements

• Strong, hands-on SQL. You write your own queries against large datasets and don't wait for someone else to pull the data.
• Working experience in Databricks (strongly preferred) or a comparable cloud data platform such as Snowflake or BigQuery—experience with SQL warehouses, Unity Catalog, and notebooks or equivalent.
• Enough data engineering knowledge to be self-sufficient: comfortable connecting data sources, setting up basic ingestion, and working with bronze, silver, and gold data layers, without needing to be a data engineer.
• Experience building dashboards and reporting in Databricks AI/BI, Power BI, Tableau, or equivalent.
• Experienced with analytics data design patterns such as star schema. Experience designing and building datasets following a similar design pattern is a plus.
• Independently interprets data in the context of the client's business, makes recommendations without guidance, and drives them to completion.
• Exceptional communicator who can explain technical findings to marketers and executives, and business priorities to technical teams.
• Python (PySpark or pandas) is a plus. Marketing analytics experience with CRM, lifecycle, or customer data is a strong plus.

Benefits

• Medical, dental, vision, and life insurance
• 401k with company match
• Flexible PTO policy
• Monthly tech stipend
• Paid parental leave
• In-person onboarding experience at our HQ in Indianapolis, Indiana
• Mental well-being support